Premium
A QconCAT informatics pipeline for the analysis, visualization and sharing of absolute quantitative proteomics data
Author(s) -
Swainston Neil,
Jameson Daniel,
Carroll Kathleen
Publication year - 2010
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.201000454
Subject(s) - stable isotope labeling by amino acids in cell culture , computer science , pipeline (software) , quantitative proteomics , proteomics , informatics , data science , visualization , software , field (mathematics) , data mining , computational biology , biology , engineering , mathematics , biochemistry , electrical engineering , pure mathematics , gene , programming language
Absolute protein concentration determination is becoming increasingly important in a number of fields including diagnostics, biomarker discovery and systems biology modeling. The recently introduced quantification concatamer methodology provides a novel approach to performing such determinations, and it has been applied to both microbial and mammalian systems. While a number of software tools exist for performing analyses of quantitative data generated by related methodologies such as SILAC, there is currently no analysis package dedicated to the quantification concatamer approach. Furthermore, most tools that are currently available in the field of quantitative proteomics do not manage storage and dissemination of such data sets.